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Friday, November 02, 2018

Data scientists at 20th Century Fox and Google Cloud have developed machine-learning software that can analyze movie trailers and predict how likely people are to see those movies in theaters.

Logan. Photo: Google

Data scientists at 20th Century Fox and Google Cloud have developed
machine-learning software that can analyze movie trailers and predict
how likely people are to see those movies in theaters.

A recent preprint research paper breaks down how the program, named Merlin, can now recognize objects
and patterns in a trailer to understand movie scenes. Merlin can scan
trailers and spot objects like "man with beard," "gun," "car," and
decide whether the movie is an action flick or a crime drama based on
the context in which those objects appear.

"A trailer with a long close-up shot of a character is more likely for a drama movie," the study's authors write, "whereas a trailer with quick but frequent shots is more likely for an action movie."...

Merlin uses its method of categorizing movies and historical data of
a moviegoer's preferences to predict whether they will buy a ticket for
the next big summer action movie, Man With Beard And Gun And Car.

Beginning with 2017's The Greatest Showman, 20th Century Fox has been using Merlin's predictions to decide which movies to make and how best to market them, according to a Google blog post.Read more...

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Hello, my name is Helge Scherlund and I am the Education Editor and Online Educator of this personal weblog and the founder of eLearning • Computer-Mediated Communication Center.
I have an education in the teaching adults and adult learning from Roskilde University, with Computer-Mediated Communication (CMC) and Human Resource Development (HRD) as specially studied subjects. I am the author of several articles and publications about the use of decision support tools, e-learning and computer-mediated communication. I am a member of The Danish Mathematical Society (DMF), The Danish Society for Theoretical Statistics (DSTS) and an individual member of the European Mathematical Society (EMS). Note: Comments published here are purely my own and do not reflect those of my current or future employers or other organizations.